This is a binder-enabled version of the datashader NYC Taxi example.
There are a variety of approaches for plotting large datasets, but most of
them are very unsatisfactory. Here we first show some of the issues, then
demonstrate how the datashader library helps make large datasets truly
practical.
We'll use part of the well-studied NYC Taxi trip database, with the locations of all NYC taxi pickups and dropoffs from the month of January 2015. Although we know what the data is, let's approach it as if we are doing data mining, and see what it takes to understand the dataset from scratch.